Eduardo Alonso

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning.
CoRR, June, 2025

A representational framework for learning and encoding structurally enriched trajectories in complex agent environments.
CoRR, March, 2025

Coordinated LLM multi-agent systems for collaborative question-answer generation.
Knowl. Based Syst., 2025

Algebras of actions in an agent's representations of the world.
Artif. Intell., 2025

Predictive Improvement through Latent Space Optimisation.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024
Mutation-Bias Learning in Games.
CoRR, 2024

DiT-Head: High Resolution Talking Head Synthesis Using Diffusion Transformers.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023
Cognitively Inspired Components for Social Conversational Agents.
CoRR, 2023

Classification Challenges and Analysis of Traffic Patterns for Highly Congested Areas in Central Texas.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

2022
Efficient entity-based reinforcement learning.
CoRR, 2022

AIGenC: AI generalisation via creativity.
CoRR, 2022

DTCEncoder: A Swiss Army Knife Architecture for DTC Exploration, Prediction, Search and Model Interpretation.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021
Syllable Neural Language Models for English Poem Generation.
Proceedings of the Twelfth International Conference on Computational Creativity, 2021

HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep Multi-Agent Reinforcement Learning for Cost Efficient Distributed Load Frequency Control.
CoRR, 2020

Gaussian Process Regression for Probabilistic Short-term Solar Output Forecast.
CoRR, 2020

2018
Towards Symbolic Reinforcement Learning with Common Sense.
CoRR, 2018

2014
What Have Computational Models Ever Done for Us?: A Case Study in Classical Conditioning.
Int. J. Artif. Life Res., 2014

2013
Visible Light Communication System Using an Organic Bulk Heterojunction Photodetector.
Sensors, 2013

Associative Reinforcement Learning - A Proposal to Build Truly Adaptive Agents and Multi-agent Systems.
Proceedings of the ICAART 2013, 2013

Right-based Coordination for Environments with Changing Complexity - Results in Traffic Simulation.
Proceedings of the ICAART 2013, 2013

2012
Internally Driven Q-learning - Convergence and Generalization Results.
Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012

2011
The Divergence of Reinforcement Learning Algorithms with Value-Iteration and Function Approximation
CoRR, 2011

The Local Optimality of Reinforcement Learning by Value Gradients, and its Relationship to Policy Gradient Learning
CoRR, 2011

2008
Visual scene classification for image and video home content.
Proceedings of the International Workshop on Content-Based Multimedia Indexing, 2008

2005
The Workshops at the Twentieth National Conference on Artificial Intelligence.
AI Mag., 2005

2002
AI and Agents: State of the Art.
AI Mag., 2002

2001
Sistemas Logicos de Multiples Agentes: Arquitectura e Implementacion en Simuladores de Conflictos.
Inteligencia Artif., 2001

1999
Derechos, coordinacion y accion social en dominios multi-agentes.
Inteligencia Artif., 1999

1997
A formal framework for the representation of negociation protocols.
Inteligencia Artif., 1997


  Loading...